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Exploring Transport Behavior in Hybrid Perovskites Solar Cells via Machine Learning Analysis of Environmental-Dependent Impedance Spectroscopy.
Kim, Dohyung; Muckley, Eric S; Creange, Nicole; Wan, Ting Hei; Ann, Myung Hyun; Quattrocchi, Emanuele; Vasudevan, Rama K; Kim, Jong H; Ciucci, Francesco; Ivanov, Ilia N; Kalinin, Sergei V; Ahmadi, Mahshid.
Afiliación
  • Kim D; Joint Institute for Advanced Materials, Department of Materials Science and Engineering, University of Tennessee, Knoxville, TN, 37996, USA.
  • Muckley ES; The Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA.
  • Creange N; Department of Materials Science and Engineering, North Carolina State University, Raleigh, NC, 27606, USA.
  • Wan TH; Department of Mechanical and Aerospace Engineering, The Hong Kong University of Science and Technology, Hong Kong.
  • Ann MH; Department of Molecular Science and Technology, Ajou University, Suwon, 16499, Republic of Korea.
  • Quattrocchi E; Department of Mechanical and Aerospace Engineering, The Hong Kong University of Science and Technology, Hong Kong.
  • Vasudevan RK; The Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA.
  • Kim JH; Department of Molecular Science and Technology, Ajou University, Suwon, 16499, Republic of Korea.
  • Ciucci F; Department of Mechanical and Aerospace Engineering, The Hong Kong University of Science and Technology, Hong Kong.
  • Ivanov IN; Department of Chemical and Biomolecular Engineering, The Hong Kong University of Science and Technology, Hong Kong.
  • Kalinin SV; The Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA.
  • Ahmadi M; The Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA.
Adv Sci (Weinh) ; 8(15): e2002510, 2021 Aug.
Article en En | MEDLINE | ID: mdl-34155825

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Adv Sci (Weinh) Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Alemania

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Adv Sci (Weinh) Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Alemania